Jin Chu
Impact in
- Physiology top 5%
- Alzheimer's disease research and treatments
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
- Physiology 28
- Alzheimer's disease research and treatments 28
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- Medicinal Plant Pharmacodynamics Research 3
- Inflammatory mediators and NSAID effects 1
- Co-authors
- Domenico Praticò (25 shared papers)Elisabetta Lauretti (4 shared papers)Yash B. Joshi (5 shared papers)Phillip F. Giannopoulos (4 shared papers)Carlos Alberto Barrero (1 shared paper)Salim Merali (1 shared paper)Lin Li (3 shared papers)Cong Shen (2 shared papers)
- Journals
- Neurobiology of Aging (4 papers)Annals of Neurology (3 papers)Molecular Psychiatry (3 papers)Journal of Alzheimer s Disease (2 papers)Alzheimer s & Dementia (2 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Jin Chu
38 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 86
- Physiology 557
- Neurology 96
- Biological Psychiatry 16
- Biochemistry 48
- Pharmacology 112
Countries citing papers authored by Jin Chu
This map shows the geographic impact of Jin Chu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jin Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Chu more than expected).
Fields of papers citing papers by Jin Chu
This network shows the impact of papers produced by Jin Chu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jin Chu. The network helps show where Jin Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Chu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 115 | |
| 2 | 2010 | 90 | |
| 3 | 2017 | 81 | |
| 4 | 2014 | 70 | |
| 5 | 2018 | 65 | |
| 6 | 2010 | 60 | |
| 7 | 2018 | 57 | |
| 8 | 2012 | 55 | |
| 9 | 2012 | 55 | |
| 10 | 2013 | 48 | |
| 11 | 2015 | 37 | |
| 12 | 2014 | 36 | |
| 13 | 2009 | 33 | |
| 14 | 2014 | 33 | |
| 15 | 2012 | 30 | |
| 16 | 2016 | 30 | |
| 17 | 2013 | 27 | |
| 18 | 2013 | 24 | |
| 19 | 2007 | 23 | |
| 20 | 2017 | 23 |
About Jin Chu
Jin Chu is a scholar working on Physiology, Pharmacology, Orthopedics and Sports Medicine, Cellular and Molecular Neuroscience and Urology, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (28 papers), Medicinal Plant Pharmacodynamics Research (3 papers), Antioxidants, Aging, Portulaca oleracea (2 papers), Tendon Structure and Treatment (2 papers), Phytochemistry and Biological Activities (1 paper), Inflammatory mediators and NSAID effects (1 paper), Bone Tumor Diagnosis and Treatments (1 paper) and Periodontal Regeneration and Treatments (1 paper). The work is most often cited by research in Physiology (557 citations), Neurology (96 citations), Biological Psychiatry (16 citations), Biochemistry (48 citations) and Pharmacology (112 citations). Jin Chu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Domenico Praticò, Elisabetta Lauretti, Yash B. Joshi, Phillip F. Giannopoulos, Carlos Alberto Barrero, Salim Merali, Lin Li, Cong Shen, Lan Zhang and Jia‐Min Zhuo. Their work appears in journals such as Neurobiology of Aging, Annals of Neurology, Molecular Psychiatry, Journal of Alzheimer s Disease and Alzheimer s & Dementia.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.